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Determination of proximate analysis of individual and combined samples of <i>Dioscorea alata</i>, <i>Musa parasidiaca</i> and <i>Xanthosoma sagittifolium</i> peels


G.N. John
K.O. Orubite
G.O. Oriji

Abstract

This study investigates the proximate composition of yam (Dioscorea alata), cocoyam (Musa parasidiaca) and plantain (Xanthosoma sagittifolium) plant wastes, with a focus on evaluating the impact of the individual and combined plant wastes. Tubers of yam (Dioscorea alata), cocoyam (Musa parasidiaca) and plantain (Xanthosoma sagittifolium) used in this study were obtained from Obibi in Etche Local Government Area of Rivers State, Nigeria. Yams are tubers, plantains are fruits, whereas cocoyam is derived from corms, underground stems, and swollen hypocotyls. All these crops can be propagated by vegetative parts and these include tubers (yams), sucker (Plantain) and side shoots, stolons, or corm heads (cocoyam). Peels from the yam tubers were obtained by using a kitchen knife to carefully remove the peels. The peels were then immediately oven dried at 45oC for 24 hours. The dried peels were then ground through a 40-mesh screen using a Wiley. Analyses conducted isproximate determination using AOAC method. The results highlight the high ash content of Yam and Cocoyam Peel, which contributes to mineral enrichment; the enhanced moisture content of Plantain Peel, which has implications for water retention; and the low fat and oil content of Cocoyam Peel, which suggests that it is appropriate for use as a low-fat organic material. Yam Peel has a high crude fiber level, which indicates that it has the capacity to improve the structure of the soil. On the other hand, Yam and Cocoyam Peel stand out because it has largest protein content, which is essential for the development of plants. Plantain and cocoyam peel have the largest carbohydrate content, making it an excellent source of energy for the bacteria and plants that live in the soil below it. These findings have practical implications for sustainable agriculture by optimizing crop yields in diverse agro ecosystems. 


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eISSN: 1118-1931
print ISSN: 1118-1931